Triple

T5707169
Position Surface form Disambiguated ID Type / Status
Subject Lazgi E125812 entity
Predicate regionOfOrigin P410 FINISHED
Object Khorezm region E497040 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Khorezm region | Statement: [Lazgi, regionOfOrigin, Khorezm region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khorezm region
Context triple: [Lazgi, regionOfOrigin, Khorezm region]
  • A. Khorezm Region chosen
    Khorezm Region is an administrative region in northwestern Uzbekistan, historically part of the ancient Khwarezm civilization and centered around the city of Urgench.
  • B. Bukhara Region
    Bukhara Region is an administrative region in southwestern Uzbekistan known for its historic Silk Road city of Bukhara and its vast expanses of the Kyzylkum Desert.
  • C. Fergana Region
    Fergana Region is an administrative region in eastern Uzbekistan known for its fertile Fergana Valley, dense population, and significant agricultural and industrial output.
  • D. Samarkand Region
    Samarkand Region is an administrative region in eastern Uzbekistan best known for encompassing the historic Silk Road city of Samarkand.
  • E. Andijan Region
    Andijan Region is an administrative region in eastern Uzbekistan known for its dense population, fertile Fergana Valley agriculture, and the city of Andijan as its capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024892fd88190a91133fc88365410 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a6c17608190a9a808c2c77d937c completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:45 p.m.